Operating a storage-augmented hybrid microgrid considering battery aging costs

Weitzel, Timm; Schneider, Maximilian; Glock, C. H.; Löber, Florian; Rinderknecht, Stephan

doi:10.1016/j.jclepro.2018.03.296

Cited by 45 publications

(26 citation statements)

References 61 publications

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“…The cell studied by Sarasketa-Zabala et al [11] and Weitzel et al [33] is an LFP/graphite 26650-type cell of 2.3 Ah and 3.3 V.…”

Section: Degradation Of Lfp Cellsmentioning

confidence: 99%

“…Weitzel et al [33] used the Zabala model, which uses an aging life loss function ( ) divided into a calendar aging life loss function ( cal ) and a cyclical aging life loss function ( cyc ) as the factor by which the Cost bat is multiplied to obtain the Cost deg . It can be calculated using Equation 21and is a non-dimensional number.…”

Section: Degradation Costmentioning

confidence: 99%

“…Weitzel et al [33] used a replacement cost, uniformly distributed over the whole lifetime of the battery, for the calendar cost, and over the total Ah-throughput used in the cell lifetime for the cyclic cost. A cost proportional to the elapsed time of current use of the battery (∆t) is applied to obtain the calendar cost, and in order to obtain the cyclic cost, a cost proportional to the elapsed Q of the current use of the battery (∆Q) is applied.…”

Section: Degradation Costmentioning

confidence: 99%

“…Other authors applied different methodologies. Weitzel et al [33] multiplied the Cost bat by the ratio of magnitude involved in actual use to the same magnitude over the battery lifetime. For the calendar cost, the magnitude used is time, and for cyclic cost, it is Ah-throughput.…”

Section: Introductionmentioning

confidence: 99%

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Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

2020

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Estimating the degradation costs of lithium-ion batteries is essential to the designs of many systems because batteries are increasingly used in diverse applications. In this study, cyclic and calendar degradation models of lithium batteries were considered in optimization problems with randomized non-cyclic batteries use. Such models offer realistic results. Electrical, thermal, and degradation models were applied for lithium nickel cobalt manganese oxide (NMC) and lithium iron phosphate (LFP) technologies. Three possible strategies were identified to estimate degradation costs based on cell models. All three strategies were evaluated via simulations and validated by comparing the results with those obtained by other authors. One strategy was discarded because it overestimates costs, while the other two strategies give good results, and are suitable for estimating battery degradation costs in optimization problems that require deterministic models.

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“…The cell studied by Sarasketa-Zabala et al [11] and Weitzel et al [33] is an LFP/graphite 26650-type cell of 2.3 Ah and 3.3 V.…”

Section: Degradation Of Lfp Cellsmentioning

confidence: 99%

Section: Degradation Costmentioning

confidence: 99%

Section: Degradation Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

2020

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“…Battery energy storage system is widely used in today's more electrified world . Lithium‐ion batteries, with higher energy density, longer cycle life, and lower self‐discharge rate, are favorable for the electrochemical energy storage systems, including the power source for electric vehicle, the energy storage station for grid, power wall for houses, etc. Cells are assembled together as a battery pack, as single cell has limited voltage and capacity .…”

Section: Introductionmentioning

confidence: 99%

A graphical model for evaluating the status of series-connected lithium-ion battery pack

Feng

et al. 2018

Int J Energy Res

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Summary State evaluation of battery pack is essential for battery management but laborious when dealing with massive information of cells within the pack. A graphical model for evaluating the status of series‐connected Li‐ion battery pack is established to release the burden. The model is founded by a 2D diagram, with the electric quantity “E” and the capacity “Q” as its axes, therefore called by the “E‐Q diagram.” The new graphical diagram presents the dynamics of cell variations in a linear way, thereby benefiting the design and management of battery pack, including (1) quantifying the cell variations by region, (2) illustrating the evolution of cell variations during aging, (3) guiding the estimation of pack states considering algorithm error in cell states, and (4) solving the balancing problem. The experimental results conform to the theoretical analysis, indicating that the E‐Q diagram will be pervasively applied in the design and management of series‐connected battery pack. Moreover, the E‐Q diagram is suitable for education on the basics of a battery pack, because it is a graphical model.

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Optimization of Standalone Microgrid’s Operation Considering Battery Degradation Cost

Swami

Gupta

2021

Algorithms for Intelligent Systems

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Operating a storage-augmented hybrid microgrid considering battery aging costs

Cited by 45 publications

References 61 publications

Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

Estimating Degradation Costs for Non-Cyclic Usage of Lithium-Ion Batteries

A graphical model for evaluating the status of series-connected lithium-ion battery pack

Optimization of Standalone Microgrid’s Operation Considering Battery Degradation Cost

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